Merge pull request 'fix the file finder for sfcf' (#19) from fix/sfcf_file_finder into develop

Reviewed-on: https://www.kuhl-mann.de/git/git/jkuhl/corrlib/pulls/19

.gitignore

@@ -2,8 +2,7 @@ pyerrors_corrlib.egg-info
 __pycache__
 *.egg-info
 test.ipynb
-test_ds
 .vscode
 .venv
 .pytest_cache
-.coverage
+.coverage

README.md

@@ -5,12 +5,3 @@ This is done in a reproducible way using `datalad`.
 In principle, a dataset is created, that is automatically administered by the backlogger, in which data from differnt projects are held together.
 Everything is catalogued by a searchable SQL database, which holds the paths to the respective measurements.
 The original projects can be linked to the dataset and the data may be imported using wrapper functions around the read methonds of pyerrors.
-
-We work with the following nomenclature in this project:
-- Measurement
-    A setis of Observables, including the appropriate metadata.
-- Project
-    A series of measurements that was done by one person as part of their research.
-- Record
-    An entry of a single Correlator in the database of the backlogger.
-- 

TODO.md

@@ -1,21 +1,14 @@
 # TODO
 
 ## Features
-- [ ] implement import of non-datalad projects
+- implement import of non-datalad projects
-- [ ] implement a way to use another backlog repo as a project
+- implement a way to use another backlog repo as a project
-- [ ] make cache deadlock resistent (no read while writing)
+
-- [ ] find a way to convey the mathematical structure of what EXACTLY is the form of the correlator in a specific project
+- find a way to convey the mathematical structure of what EXACTLY is the form of the correlator in a specific project
-    - [ ] this could e.g. be done along the lines of mandatory documentation
+    - this could e.g. be done along the lines of mandatory documentation
-- [ ] keep better track of the versions of the code, that was used for a specific measurement.
+- keep better track of the versions of the code, that was used for a specific measurement.
-    - [ ] maybe let this be an input in the project file?
+    - maybe let this be an input in the project file?
-    - [ ] git repo and commit hash/version tag
+    - git repo and commit hash/version tag
-    - [ ] implement a code table?
+
-- [ ] parallel processing of measurements
-- [ ] extra SQL table for ensembles with UUID and aliases
 ## Bugfixes
 - [ ] revisit the reimport function for single files
-- [ ] drop record needs to look if no records are left in a json file.
-
-## Rough Ideas
-- [ ] multitable could provide a high speed implementation of an HDF5 based format
-- [ ] implement also a way to include compiled binaries in the archives.

corrlib/__init__.py

@@ -22,4 +22,3 @@ from .meas_io import load_records as load_records
 from .find import find_project as find_project
 from .find import find_record as find_record
 from .find import list_projects as list_projects
-from .tools import *

corrlib/cache_io.py

@@ -1,58 +0,0 @@
-from typing import Optional
-import os
-import shutil
-from .tools import record2name_key
-import datalad.api as dl
-import sqlite3
-from tools import db_filename
-
-
-def get_version_hash(path: str, record: str) -> str:
-    db = os.path.join(path, db_filename(path))
-    dl.get(db, dataset=path)
-    conn = sqlite3.connect(db)
-    c = conn.cursor()
-    c.execute(f"SELECT current_version FROM 'backlogs' WHERE path = '{record}'")
-    return str(c.fetchall()[0][0])
-
-
-def drop_cache_files(path: str, fs: Optional[list[str]]=None) -> None:
-    cache_dir = os.path.join(path, ".cache")
-    if fs is None:
-        fs = os.listdir(cache_dir)
-    for f in fs:
-        shutil.rmtree(os.path.join(cache_dir, f))
-
-
-def cache_dir(path: str, file: str) -> str:
-    cache_path_list = [path]
-    cache_path_list.append(".cache")
-    cache_path_list.extend(file.split("/")[1:])
-    cache_path = "/".join(cache_path_list)
-    return cache_path
-
-
-def cache_path(path: str, file: str, sha_hash: str, key: str) -> str:
-    cache_path = os.path.join(cache_dir(path, file), key + "_" +  sha_hash)
-    return cache_path
-
-
-def is_old_version(path: str, record: str) -> bool:
-    version_hash = get_version_hash(path, record)
-    file, key = record2name_key(record)
-    meas_cache_path = os.path.join(cache_dir(path, file))
-    ls = []
-    is_old = True
-    for p, ds, fs in os.walk(meas_cache_path):
-        ls.extend(fs)
-    for filename in ls:
-        if key == filename.split("_")[0]:
-            if version_hash == filename.split("_")[1][:-2]:
-                is_old = False
-    return is_old
-
-
-def is_in_cache(path: str, record: str) -> bool:
-    version_hash = get_version_hash(path, record)
-    file, key = record2name_key(record)
-    return os.path.exists(cache_path(path, file, version_hash, key) + ".p")

corrlib/cli.py

@@ -6,7 +6,8 @@ from .toml import import_tomls, update_project, reimport_project
 from .find import find_record, list_projects
 from .tools import str2list
 from .main import update_aliases
-from .cache_io import drop_cache_files as cio_drop_cache_files
+from .meas_io import drop_cache as mio_drop_cache
+from .meas_io import load_record as mio_load_record
 import os
 from importlib.metadata import version
 
@@ -35,6 +36,7 @@ def update(
     update_project(path, uuid)
     return
 
+
 @app.command()
 def list(
     path: str = typer.Option(
@@ -94,12 +96,39 @@ def find(
     ensemble: str = typer.Argument(),
     corr: str = typer.Argument(),
     code: str = typer.Argument(),
+    arg: str = typer.Option(
+        str('all'),
+        "--argument",
+        "-a",
+    ),
     ) -> None:
     """
     Find a record in the backlog at hand. Through specifying it's ensemble and the measured correlator.
     """
     results = find_record(path, ensemble, corr, code)
-    print(results)
+    if arg == 'all':
+        print(results)
+    else:
+        for r in results[arg].values:
+            print(r)
+
+
+@app.command()
+def stat(
+    path: str = typer.Option(
+        str('./corrlib'),
+        "--dataset",
+        "-d",
+        ),
+    record: str = typer.Argument(),
+    ) -> None:
+    """
+    Show the statistics of a given record.
+    """
+    record = mio_load_record(path, record)[0]
+    statistics = record.idl
+    print(statistics)
+    return
 
 
 @app.command()
@@ -180,7 +209,7 @@ def drop_cache(
     """
     Drop the currect cache directory of the dataset.
     """
-    cio_drop_cache_files(path)
+    mio_drop_cache(path)
     return
 
 

corrlib/find.py

@@ -4,7 +4,7 @@ import json
 import pandas as pd
 import numpy as np
 from .input.implementations import codes
-from .tools import k2m, db_filename
+from .tools import k2m, get_db_file
 from .tracker import get
 from typing import Any, Optional
 
@@ -230,7 +230,7 @@ def sfcf_filter(results: pd.DataFrame, **kwargs: Any) -> pd.DataFrame:
 
 def find_record(path: str, ensemble: str, correlator_name: str, code: str, project: Optional[str]=None, parameters: Optional[str]=None,
                 created_before: Optional[str]=None, created_after: Optional[str]=None, updated_before: Optional[str]=None, updated_after: Optional[str]=None, revision: Optional[str]=None, **kwargs: Any) -> pd.DataFrame:
-    db_file = db_filename(path)
+    db_file = get_db_file(path)
     db = os.path.join(path, db_file)
     if code not in codes:
         raise ValueError("Code " + code + "unknown, take one of the following:" + ", ".join(codes))
@@ -262,7 +262,7 @@ def find_project(path: str, name: str) -> str:
     uuid: str
         The uuid of the project in question.
     """
-    db_file = db_filename(path)
+    db_file = get_db_file(path)
     get(path, db_file)
     return _project_lookup_by_alias(os.path.join(path, db_file), name)
 
@@ -281,7 +281,7 @@ def list_projects(path: str) -> list[tuple[str, str]]:
     results: list[Any]
         The projects known to the library.
     """
-    db_file = db_filename(path)
+    db_file = get_db_file(path)
     get(path, db_file)
     conn = sqlite3.connect(os.path.join(path, db_file))
     c = conn.cursor()

corrlib/initialization.py

@@ -26,8 +26,7 @@ def _create_db(db: str) -> None:
                   parameters TEXT,
                   parameter_file TEXT,
                   created_at TEXT,
-                  updated_at TEXT,
+                  updated_at TEXT)''')
-                  current_version TEXT)''')
     c.execute('''CREATE TABLE IF NOT EXISTS projects
                  (id TEXT PRIMARY KEY,
                   aliases TEXT,
@@ -72,7 +71,6 @@ def _create_config(path: str, tracker: str, cached: bool) -> ConfigParser:
         'archive_path': 'archive',
         'toml_imports_path': 'toml_imports',
         'import_scripts_path': 'import_scripts',
-        'cache_path': '.cache',
     }
     return config
 

corrlib/input/sfcf.py

@@ -3,6 +3,7 @@ import datalad.api as dl
 import json
 import os
 from typing import Any
+from fnmatch import fnmatch
 
 
 bi_corrs: list[str] = ["f_P", "fP", "f_p",
@@ -298,9 +299,10 @@ def read_data(path: str, project: str, dir_in_project: str, prefix: str, param:
     if not appended:
         compact = (version[-1] == "c")
         for i, item in enumerate(ls):
-            rep_path = directory + '/' + item
+            if fnmatch(item, prefix + "*"):
-            sub_ls = pe.input.sfcf._find_files(rep_path, prefix, compact, [])
+                rep_path = directory + '/' + item
-            files_to_get.extend([rep_path + "/" + filename for filename in sub_ls])
+                sub_ls = pe.input.sfcf._find_files(rep_path, prefix, compact, [])
+                files_to_get.extend([rep_path + "/" + filename for filename in sub_ls])
 
 
     print("Getting data, this might take a while...")

corrlib/main.py

@@ -5,7 +5,7 @@ import os
 from .git_tools import move_submodule
 import shutil
 from .find import _project_lookup_by_id
-from .tools import list2str, str2list, db_filename
+from .tools import list2str, str2list, get_db_file
 from .tracker import get, save, unlock, clone, drop
 from typing import Union, Optional
 
@@ -25,7 +25,7 @@ def create_project(path: str, uuid: str, owner: Union[str, None]=None, tags: Uni
     code: str (optional)
         The code that was used to create the measurements.
     """
-    db_file = db_filename(path)
+    db_file = get_db_file(path)
     db = os.path.join(path, db_file)
     get(path, db_file)
     conn = sqlite3.connect(db)
@@ -64,7 +64,7 @@ def update_project_data(path: str, uuid: str, prop: str, value: Union[str, None]
     value: str or None
         Value to se `prop` to.
     """
-    db_file = db_filename(path)
+    db_file = get_db_file(path)
     get(path, db_file)
     conn = sqlite3.connect(os.path.join(path, db_file))
     c = conn.cursor()
@@ -75,7 +75,7 @@ def update_project_data(path: str, uuid: str, prop: str, value: Union[str, None]
 
 
 def update_aliases(path: str, uuid: str, aliases: list[str]) -> None:
-    db_file = db_filename(path)
+    db_file = get_db_file(path)
     db = os.path.join(path, db_file)
     get(path, db_file)
     known_data = _project_lookup_by_id(db, uuid)[0]
@@ -135,7 +135,7 @@ def import_project(path: str, url: str, owner: Union[str, None]=None, tags: Opti
     if not uuid:
         raise ValueError("The dataset does not have a uuid!")
     if not os.path.exists(path + "/projects/" + uuid):
-        db_file = db_filename(path)
+        db_file = get_db_file(path)
         get(path, db_file)
         unlock(path, db_file)
         create_project(path, uuid, owner, tags, aliases, code)

corrlib/meas_io.py

@@ -3,14 +3,13 @@ import os
 import sqlite3
 from .input import sfcf,openQCD
 import json
-from typing import Union, Any
+from typing import Union
-from pyerrors import Obs, Corr, load_object, dump_object
+from pyerrors import Obs, Corr, dump_object, load_object
 from hashlib import sha256
-from .tools import record2name_key, name_key2record, make_version_hash
+from .tools import get_db_file, cache_enabled
-from .cache_io import is_in_cache, cache_path, cache_dir, get_version_hash
-from .tools import db_filename, cache_enabled
 from .tracker import get, save, unlock
 import shutil
+from typing import Any
 
 
 def write_measurement(path: str, ensemble: str, measurement: dict[str, dict[str, dict[str, Any]]], uuid: str, code: str, parameter_file: str) -> None:
@@ -33,7 +32,7 @@ def write_measurement(path: str, ensemble: str, measurement: dict[str, dict[str,
     parameter_file: str
         The parameter file used for the measurement.
     """
-    db_file = db_filename(path)
+    db_file = get_db_file(path)
     db = os.path.join(path, db_file)
     get(path, db_file)
     unlock(path, db_file)
@@ -86,18 +85,18 @@ def write_measurement(path: str, ensemble: str, measurement: dict[str, dict[str,
                 subkey = "/".join(par_list)
                 subkeys = [subkey]
                 pars[subkey] = json.dumps(parameters)
-
-        meas_paths = []
         for subkey in subkeys:
-            par_hash = sha256(str(pars[subkey]).encode('UTF-8')).hexdigest()
+            parHash = sha256(str(pars[subkey]).encode('UTF-8')).hexdigest()
-            meas_path = name_key2record(file_in_archive, par_hash)
+            meas_path = file_in_archive + "::" + parHash
-            meas_paths.append(meas_path)
+
-            known_meas[par_hash] = measurement[corr][subkey]
+            known_meas[parHash] = measurement[corr][subkey]
-            data_hash = make_version_hash(path, meas_path)
+
-            if c.execute("SELECT * FROM backlogs WHERE path = ?", (meas_path,)).fetchone() is None:
+            if c.execute("SELECT * FROM backlogs WHERE path = ?", (meas_path,)).fetchone() is not None:
-                c.execute("INSERT INTO backlogs (name, ensemble, code, path, project, parameters, parameter_file, created_at) VALUES (?, ?, ?, ?, ?, ?, ?, datetime('now'))",
+                c.execute("UPDATE backlogs SET updated_at = datetime('now') WHERE path = ?", (meas_path, ))
+            else:
+                c.execute("INSERT INTO backlogs (name, ensemble, code, path, project, parameters, parameter_file, created_at, updated_at) VALUES (?, ?, ?, ?, ?, ?, ?, datetime('now'), datetime('now'))",
                                                 (corr, ensemble, code, meas_path, uuid, pars[subkey], parameter_file))
-            c.execute("UPDATE backlogs SET current_version = ?, updated_at = datetime('now') WHERE path = ?", (data_hash, meas_path))
+        conn.commit()
         pj.dump_dict_to_json(known_meas, file)
     files.append(os.path.join(path, db_file))
     conn.close()
@@ -124,7 +123,7 @@ def load_record(path: str, meas_path: str) -> Union[Corr, Obs]:
     return load_records(path, [meas_path])[0]
 
 
-def load_records(path: str, record_paths: list[str], preloaded: dict[str, Any] = {}) -> list[Union[Corr, Obs]]:
+def load_records(path: str, meas_paths: list[str], preloaded: dict[str, Any] = {}) -> list[Union[Corr, Obs]]:
     """
     Load a list of records by their paths.
 
@@ -143,32 +142,70 @@ def load_records(path: str, record_paths: list[str], preloaded: dict[str, Any] =
         The loaded records.
     """
     needed_data: dict[str, list[str]] = {}
-    for rpath in record_paths:
+    for mpath in meas_paths:
-        file, key = record2name_key(rpath)
+        file = mpath.split("::")[0]
         if file not in needed_data.keys():
             needed_data[file] = []
+        key = mpath.split("::")[1]
         needed_data[file].append(key)
     returned_data: list[Any] = []
     for file in needed_data.keys():
         for key in list(needed_data[file]):
-            record = name_key2record(file, key)
+            if os.path.exists(cache_path(path, file, key) + ".p"):
-            current_version = get_version_hash(path, record)
+                returned_data.append(load_object(cache_path(path, file, key) + ".p"))
-            if is_in_cache(path, record):
-                returned_data.append(load_object(cache_path(path, file, current_version, key) + ".p"))
             else:
                 if file not in preloaded:
                     preloaded[file] = preload(path, file)
                 returned_data.append(preloaded[file][key])
                 if cache_enabled(path):
-                    if not is_in_cache(path, record):
+                    if not os.path.exists(cache_dir(path, file)):
-                        file, key = record2name_key(record)
+                        os.makedirs(cache_dir(path, file))
-                        if not os.path.exists(cache_dir(path, file)):
+                    dump_object(preloaded[file][key], cache_path(path, file, key))
-                            os.makedirs(cache_dir(path, file))
-                        current_version = get_version_hash(path, record)
-                        dump_object(preloaded[file][key], cache_path(path, file, current_version, key))
     return returned_data
 
 
+def cache_dir(path: str, file: str) -> str:
+    """
+    Returns the directory corresponding to the cache for the given file.
+
+    Parameters
+    ----------
+    path: str
+        The path of the library.
+    file: str
+        The file in the library that we want to access the cached data of.
+    Returns
+    -------
+    cache_path: str
+        The path holding the cached data for the given file.
+    """
+    cache_path_list = [path]
+    cache_path_list.append(".cache")
+    cache_path_list.extend(file.split("/")[1:])
+    cache_path = "/".join(cache_path_list)
+    return cache_path
+
+
+def cache_path(path: str, file: str, key: str) -> str:
+    """
+    Parameters
+    ----------
+    path: str
+        The path of the library.
+    file: str
+        The file in the library that we want to access the cached data of.
+    key: str
+        The key within the archive file.
+
+    Returns
+    -------
+    cache_path: str
+        The path at which the measurement of the given file and key is cached.
+    """
+    cache_path = os.path.join(cache_dir(path, file), key)
+    return cache_path
+
+
 def preload(path: str, file: str) -> dict[str, Any]:
     """
     Read the contents of a file into a json dictionary with the pyerrors.json.load_json_dict method.
@@ -204,7 +241,7 @@ def drop_record(path: str, meas_path: str) -> None:
     """
     file_in_archive = meas_path.split("::")[0]
     file = os.path.join(path, file_in_archive)
-    db_file = db_filename(path)
+    db_file = get_db_file(path)
     db = os.path.join(path, db_file)
     get(path, db_file)
     sub_key = meas_path.split("::")[1]

corrlib/tools.py

@@ -1,7 +1,6 @@
 import os
-import hashlib
 from configparser import ConfigParser
-from typing import Any, Union
+from typing import Any
 
 CONFIG_FILENAME = ".corrlib"
 cached: bool = True
@@ -23,7 +22,6 @@ def str2list(string: str) -> list[str]:
     """
     return string.split(",")
 
-
 def list2str(mylist: list[str]) -> str:
     """
     Convert a list to a comma-separated string.
@@ -41,7 +39,6 @@ def list2str(mylist: list[str]) -> str:
     s = ",".join(mylist)
     return s
 
-
 def m2k(m: float) -> float:
     """
     Convert to bare quark mas $m$ to inverse mass parameter $kappa$.
@@ -76,47 +73,6 @@ def k2m(k: float) -> float:
     return (1/(2*k))-4
 
 
-def record2name_key(record_path: str) -> tuple[str, str]:
-    """
-    Convert a record to a pair of name and key.
-
-    Parameters
-    ----------
-    record: str
-
-    Returns
-    -------
-    name: str
-    key: str
-    """
-    file = record_path.split("::")[0]
-    key = record_path.split("::")[1]
-    return file, key
-
-
-def name_key2record(name: str, key: str) -> str:
-    """
-    Convert a name and a key to a record name.
-
-    Parameters
-    ----------
-    name: str
-    key: str
-
-    Returns
-    -------
-    record: str
-    """
-    return name + "::" + key
-
-
-def make_version_hash(path: str, record: str) -> str:
-    file, key = record2name_key(record)
-    with open(os.path.join(path, file), 'rb') as fp:
-        file_hash = hashlib.file_digest(fp, 'sha1').hexdigest()
-    return file_hash
-
-
 def set_config(path: str, section: str, option: str, value: Any) -> None:
     """
     Set configuration parameters for the library.
@@ -144,7 +100,7 @@ def set_config(path: str, section: str, option: str, value: Any) -> None:
     return
 
 
-def db_filename(path: str) -> str:
+def get_db_file(path: str) -> str:
     """
     Get the database file associated with the library at the given path.
 
@@ -188,28 +144,3 @@ def cache_enabled(path: str) -> bool:
     cached_str = config.get('core', 'cached', fallback='True')
     cached_bool = cached_str == ('True')
     return cached_bool
-
-
-def cache_dir_name(path: str) -> Union[str, None]:
-    """
-    Get the database file associated with the library at the given path.
-
-    Parameters
-    ----------
-    path: str
-        The path of the library.
-
-    Returns
-    -------
-    db_file: str
-        The file holding the database.
-    """
-    config_path = os.path.join(path, CONFIG_FILENAME)
-    config = ConfigParser()
-    if os.path.exists(config_path):
-        config.read(config_path)
-    if cache_enabled(path):
-        cache = config.get('paths', 'cache', fallback='.cache')
-    else:
-        cache = None
-    return cache

corrlib/tracker.py

@@ -3,7 +3,7 @@ from configparser import ConfigParser
 import datalad.api as dl
 from typing import Optional
 import shutil
-from .tools import db_filename
+from .tools import get_db_file
 
 
 def get_tracker(path: str) -> str:
@@ -43,7 +43,7 @@ def get(path: str, file: str) -> None:
     """
     tracker = get_tracker(path)
     if tracker == 'datalad':
-        if file == db_filename(path):
+        if file == get_db_file(path):
             print("Downloading database...")
         else:
             print("Downloading data...")

setup.py

@@ -1,18 +0,0 @@
-from setuptools import setup
-from distutils.util import convert_path
-
-
-version = {}
-with open(convert_path('corrlib/version.py')) as ver_file:
-    exec(ver_file.read(), version)
-
-setup(name='pycorrlib',
-      version=version['__version__'],
-      author='Justus Kuhlmann',
-      author_email='j_kuhl19@uni-muenster.de',
-      install_requires=['pyerrors>=2.11.1', 'datalad>=1.1.0', 'typer>=0.12.5', 'gitpython>=3.1.45'],
-      entry_points = {
-        'console_scripts': ['pcl=corrlib.cli:app'],
-        },
-      packages=['corrlib', 'corrlib.input']
-      )

tests/cli_test.py

@@ -2,19 +2,18 @@ from typer.testing import CliRunner
 from corrlib.cli import app
 import os
 import sqlite3 as sql
-from pathlib import Path
 
 
 runner = CliRunner()
 
 
-def test_version() -> None:
+def test_version():
     result = runner.invoke(app, ["--version"])
     assert result.exit_code == 0
     assert "corrlib" in result.output
 
 
-def test_init_folders(tmp_path: Path) -> None:
+def test_init_folders(tmp_path):
     dataset_path = tmp_path / "test_dataset"
     result = runner.invoke(app, ["init", "--dataset", str(dataset_path)])
     assert result.exit_code == 0
@@ -22,7 +21,7 @@ def test_init_folders(tmp_path: Path) -> None:
     assert os.path.exists(str(dataset_path / "backlogger.db"))
 
 
-def test_init_db(tmp_path: Path) -> None:
+def test_init_db(tmp_path):
     dataset_path = tmp_path / "test_dataset"
     result = runner.invoke(app, ["init", "--dataset", str(dataset_path)])
     assert result.exit_code == 0
@@ -38,7 +37,7 @@ def test_init_db(tmp_path: Path) -> None:
     table_names = [table[0] for table in tables]
     for expected_table in expected_tables:
         assert expected_table in table_names
-
+    
     cursor.execute("SELECT * FROM projects;")
     projects = cursor.fetchall()
     assert len(projects) == 0
@@ -61,7 +60,7 @@ def test_init_db(tmp_path: Path) -> None:
     project_column_names = [col[1] for col in project_columns]
     for expected_col in expected_project_columns:
         assert expected_col in project_column_names
-
+    
     cursor.execute("PRAGMA table_info('backlogs');")
     backlog_columns = cursor.fetchall()
     expected_backlog_columns = [
@@ -82,7 +81,7 @@ def test_init_db(tmp_path: Path) -> None:
         assert expected_col in backlog_column_names
 
 
-def test_list(tmp_path: Path) -> None:
+def test_list(tmp_path):
     dataset_path = tmp_path / "test_dataset"
     result = runner.invoke(app, ["init", "--dataset", str(dataset_path)])
     assert result.exit_code == 0

tests/import_project_test.py

@@ -1,7 +1,7 @@
 import corrlib.toml as t
 
 
-def test_toml_check_measurement_data() -> None:
+def test_toml_check_measurement_data():
     measurements = {
                     "a":
                         {

tests/sfcf_in_test.py

@@ -1,7 +1,7 @@
 import corrlib.input.sfcf as input
 import json
 
-def test_get_specs() -> None:
+def test_get_specs():
     parameters = {
         'crr': [
             'f_P', 'f_A'

tests/test_initialization.py

@@ -1,23 +1,22 @@
 import corrlib.initialization as init
 import os
 import sqlite3 as sql
-from pathlib import Path
 
-def test_init_folders(tmp_path: Path) -> None:
+def test_init_folders(tmp_path):
     dataset_path = tmp_path / "test_dataset"
     init.create(str(dataset_path))
     assert os.path.exists(str(dataset_path))
     assert os.path.exists(str(dataset_path / "backlogger.db"))
 
 
-def test_init_folders_no_tracker(tmp_path: Path) -> None:
+def test_init_folders_no_tracker(tmp_path):
     dataset_path = tmp_path / "test_dataset"
     init.create(str(dataset_path), tracker="None")
     assert os.path.exists(str(dataset_path))
     assert os.path.exists(str(dataset_path / "backlogger.db"))
 
 
-def test_init_config(tmp_path: Path) -> None:
+def test_init_config(tmp_path):
     dataset_path = tmp_path / "test_dataset"
     init.create(str(dataset_path), tracker="None")
     config_path = dataset_path / ".corrlib"
@@ -35,7 +34,7 @@ def test_init_config(tmp_path: Path) -> None:
     assert config.get("paths", "import_scripts_path") == "import_scripts"
 
 
-def test_init_db(tmp_path: Path) -> None:
+def test_init_db(tmp_path):
     dataset_path = tmp_path / "test_dataset"
     init.create(str(dataset_path))
     assert os.path.exists(str(dataset_path / "backlogger.db"))

tests/tools_test.py

@@ -3,29 +3,29 @@
 from corrlib import tools as tl
 
 
-def test_m2k() -> None:
+def test_m2k():
     for m in [0.1, 0.5, 1.0]:
         expected_k = 1 / (2 * m + 8)
         assert tl.m2k(m) == expected_k
 
 
-def test_k2m() -> None:
+def test_k2m():
     for m in [0.1, 0.5, 1.0]:
         assert tl.k2m(m) == (1/(2*m))-4
 
 
-def test_k2m_m2k() -> None:
+def test_k2m_m2k():
     for m in [0.1, 0.5, 1.0]:
         k = tl.m2k(m)
         m_converted = tl.k2m(k)
         assert abs(m - m_converted) < 1e-9
 
 
-def test_str2list() -> None:
+def test_str2list():
     assert tl.str2list("a,b,c") == ["a", "b", "c"]
     assert tl.str2list("1,2,3") == ["1", "2", "3"]
 
 
-def test_list2str() -> None:
+def test_list2str():
     assert tl.list2str(["a", "b", "c"]) == "a,b,c"
     assert tl.list2str(["1", "2", "3"]) == "1,2,3"